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ThinkMind // BIOTECHNO 2019, The Eleventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies // View article biotechno_2019_2_10_70026


Using Data Mining to Investigate Correlation between Traditional Chinese Medicine Body Constitution and Postnatal Problems

Authors:
Winnie W. M. Lam
Rebecca W. Y. Lee
Regina W. S. Sit

Keywords: TCM body constitution, postnatal problems, data mining, chi-square test, correlation

Abstract:
Many mothers experience maternal physical and mental health problems a few weeks after childbirth with unknown causes. To investigate this problem, Traditional Chinese Medicine (TCM) theory is applied to define individuals’ body constitution. As constitution refers to the relatively consistent characteristics of individual body structure and body function which affect the susceptibility towards different causing factors and the tendency of disease development, it is useful to predict the postnatal problems with body constitutions. The objective of this paper is to investigate the correlation between prenatal conditions (particularly TCM body constitution) and postnatal health problems with data mining approaches. Data was collected from pregnant women aged 21 to 45 through a standardized Constitution in Chinese Medicine Questionnaire (CCMQ) before childbirth and a faceto-face assessment that was conducted by the TCM practitioner after childbirth. The collected data was analyzed by Pearson’s Chi-square test and three benchmark data mining models to discover significant correlation. This study confirms a strong correlation between imbalanced TCM body constitution and postnatal problems. The discovered correlation can help to provide personalized TCM treatment to prevent the potential postnatal problems through an early TCM intervention during pregnancy to regulate the imbalance condition of pregnant women.

Pages: 13 to 19

Copyright: Copyright (c) IARIA, 2019

Publication date: June 2, 2019

Published in: conference

ISSN: 2308-4383

ISBN: 978-1-61208-717-7

Location: Athens, Greece

Dates: from June 2, 2019 to June 6, 2019

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